Staff/Principal Software Engineer, Isomorphic Labs
Quality Platform
More information about location
3 days a week in office
AI-driven drug discovery and development
Open for applications
AI-driven drug discovery and development
201-500 employees
Open for applications
More information about location
3 days a week in office
201-500 employees
Company mission
To use AI and machine learning methods to accelerate and improve the drug discovery process.
Role
Who you are
- Either a degree in Computer Science, Information Science, or equivalent experience
- Extensive experience creating and maintaining both individual tests and testing frameworks
- Strong backend coding skills and a deep proficiency in engineering architecture and design
- Demonstrated experience building automation frameworks or test infrastructure from scratch, with a focus on CI/CD
- Proven experience developing comprehensive test plans, protocols, and reports for large-scale, multi-component software systems
- Exceptional communication and interpersonal skills, with meticulous attention to detail
- At least five years of industry experience as a software engineer in test or in a similar engineering productivity/platform role
- Demonstrated success in delivering high-quality testing projects that have a significant impact on an organization
- Experience working effectively both independently and as part of a team
Desirable
- Experience with scientific software and/or ML pipelines, particularly in drug discovery
- Familiarity with the Google Cloud Platform (GCP)
- Experience working in fast-paced startup environments and efficiently managing multiple products simultaneously
- Proficiency with Python, Pytest, GitHub Actions, Cypress, or TypeScript
- Experience with observability tools and metrics
- Knowledge of ISO standards for software quality
What the job involves
- As a founding member of the Quality Platform team, you will be a key contributor to our organizational engineering quality and standards
- This is not a traditional quality assurance role; it is about building the systems and infrastructure that empower the entire organization to deliver high-quality, reliable, and production-ready code and ML models
- Your work will enable researchers, scientists, and engineers to do their most performant and trusted work
- You will own and develop testing frameworks and tooling, providing testing insights and automation at scale
- Architect and build a comprehensive Quality Platform: This includes creating testing frameworks and observability tools from scratch that are used across all engineering and research domains
- Lead engineering quality initiatives: Define and drive standards for code quality, testing, and CI/CD pipelines across the organization
- Provide technical guidance: Mentor and collaborate with engineers and researchers, assisting them in developing high-quality tests and integrating them into their workflows
- Develop automated solutions: Build robust test infrastructure and automation frameworks from scratch, and integrate them into a continuous integration and continuous deployment (CI/CD) manner
- Drive data-informed decisions: Communicate engineering and research quality insights and metrics across the organization to proactively identify concerns before they reach users
- Influence the technical direction: As a Staff/Principal level engineer, you will have a significant impact on our long-term technical strategy for quality and engineering productivity
Salary benchmarks
Our take
The discovery of new drugs is essential for medical innovations, but the process is lengthy, high-risk, and expensive. This is due to manual research and analysis processes that are prone to human error and time-consuming workflows, raising the question as to whether AI could reduce these pitfalls.
Rather than bolting machine learning onto the existing drug discovery process, Isomorphic Labs is reimagining everything from first principles with an AI-first approach, leveraging machine learning to build predictive and generative models of biological phenomena to understand how novel drugs could perform. And the company differentiates itself from other AI-driven drug discovery startups by being a direct subsidiary of Alphabet, with access to resources, computing power, and partnerships with teams within DeepMind.
Now, the company is gearing up for its biggest leap yet - testing its AI-designed medicines on real people. After years of development, big-name partnerships, and a $600M funding round, Isomorphic says human clinical trials are finally within reach. In its London offices, scientists and AI are already teaming up to design potential treatments for diseases like cancer. The next step is putting those drugs to the test.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
30% female employees
Company
Funding (1 round)
Mar 2025
$600m
LATE VC
Total funding: $600m
Company benefits
- Hybrid working: It’s hugely important for us to share knowledge and build strong relationships with each other, and we find it easier to do this if we spend time together in person. This is why we follow a hybrid model, and would require you to be able to come into the office 3 days a week (currently Tuesday, Wednesday, and one other day depending on which team you’re in). If you have additional needs that would prevent you from following this hybrid approach, we’d be happy to talk through these if you’re selected for an initial screening call
Company values
- Thoughtful: Thoughtful at Iso is about curiosity, creativity and care. It is about good people doing good, rigorous and future-making science every single day
- Brave: Brave at Iso is about fearlessness, but it’s also about initiative and integrity. The scale of the challenge demands nothing less
- Determined: Determined at Iso is the way we pursue our goal. It’s a confidence in our hypothesis, as well as the urgency and agility needed to deliver on it. Because disease won’t wait, so neither should we
- Together: Together at Iso is about connection, collaboration across fields and catalytic relationships. It’s knowing that transformation is a group project, and remembering that what we’re doing will have a real impact on real people everywhere
Company HQ
London, UK
Articles
Leadership
Demis Hassabis
(Co-Founer & CEO)Co-founded Google DeepMind in 2010 and has served as the CEo ever since.
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